Overview

Brought to you by YData

Dataset statistics

Number of variables27
Number of observations747102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory149.6 MiB
Average record size in memory210.0 B

Variable types

Numeric23
Categorical4

Alerts

Age is highly overall correlated with Heart_Rate_Per_Age and 3 other fieldsHigh correlation
BMI is highly overall correlated with Height and 2 other fieldsHigh correlation
Body_Temp is highly overall correlated with Calories and 17 other fieldsHigh correlation
Calories is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Calories_Est is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Duration is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Duration_Group is highly overall correlated with Body_Temp and 15 other fieldsHigh correlation
Duration_Per_Age is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Effort is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Effort_Per_Kg is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Heart_Rate is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Heart_Rate_Deviation is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Heart_Rate_Group is highly overall correlated with Body_Temp and 14 other fieldsHigh correlation
Heart_Rate_Per_Age is highly overall correlated with Age and 3 other fieldsHigh correlation
Height is highly overall correlated with BMI and 2 other fieldsHigh correlation
Intensity_Index is highly overall correlated with Age and 15 other fieldsHigh correlation
Is_Fever is highly overall correlated with Body_Temp and 5 other fieldsHigh correlation
Is_Short_Session is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Log_Age is highly overall correlated with Age and 3 other fieldsHigh correlation
Log_Calories_Est is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Duration is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Effort is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Effort_Per_Kg is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Heart_Rate_Per_Age is highly overall correlated with Age and 3 other fieldsHigh correlation
Log_Weight is highly overall correlated with BMI and 2 other fieldsHigh correlation
Temp_Deviation is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Weight is highly overall correlated with BMI and 2 other fieldsHigh correlation
Is_Fever is highly imbalanced (86.0%) Imbalance

Reproduction

Analysis started2025-05-20 12:23:34.636698
Analysis finished2025-05-20 12:24:50.015414
Duration1 minute and 15.38 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Age
Real number (ℝ)

High correlation 

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.419407
Minimum20
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.044723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile21
Q128
median40
Q352
95-th percentile70
Maximum79
Range59
Interquartile range (IQR)24

Descriptive statistics

Standard deviation15.183397
Coefficient of variation (CV)0.36657688
Kurtosis-0.74740859
Mean41.419407
Median Absolute Deviation (MAD)12
Skewness0.43728747
Sum30944522
Variance230.53555
MonotonicityNot monotonic
2025-05-20T15:24:50.089167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 36132
 
4.8%
32 26623
 
3.6%
20 26128
 
3.5%
40 22168
 
3.0%
45 21436
 
2.9%
22 21204
 
2.8%
26 20730
 
2.8%
25 20539
 
2.7%
54 20352
 
2.7%
42 20075
 
2.7%
Other values (50) 511715
68.5%
ValueCountFrequency (%)
20 26128
3.5%
21 36132
4.8%
22 21204
2.8%
23 14609
2.0%
24 17775
2.4%
25 20539
2.7%
26 20730
2.8%
27 14444
 
1.9%
28 18001
2.4%
29 16746
2.2%
ValueCountFrequency (%)
79 4273
0.6%
78 1607
 
0.2%
77 1706
 
0.2%
76 1078
 
0.1%
75 4035
0.5%
74 3792
0.5%
73 5451
0.7%
72 5003
0.7%
71 6734
0.9%
70 3968
0.5%

Height
Real number (ℝ)

High correlation 

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.69471
Minimum126
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.133633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile154
Q1164
median174
Q3185
95-th percentile195
Maximum222
Range96
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.820441
Coefficient of variation (CV)0.073387689
Kurtosis-0.83719199
Mean174.69471
Median Absolute Deviation (MAD)10
Skewness0.05158944
Sum1.3051477 × 108
Variance164.36371
MonotonicityNot monotonic
2025-05-20T15:24:50.176225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187 26136
 
3.5%
161 26065
 
3.5%
169 24682
 
3.3%
179 23564
 
3.2%
174 22187
 
3.0%
182 21395
 
2.9%
181 20352
 
2.7%
184 20214
 
2.7%
164 20087
 
2.7%
171 18985
 
2.5%
Other values (76) 523435
70.1%
ValueCountFrequency (%)
126 1
 
< 0.1%
129 1
 
< 0.1%
135 2
 
< 0.1%
136 2
 
< 0.1%
137 2
 
< 0.1%
138 4
 
< 0.1%
139 5
 
< 0.1%
140 19
 
< 0.1%
141 58
< 0.1%
142 50
< 0.1%
ValueCountFrequency (%)
222 3
 
< 0.1%
218 3
 
< 0.1%
217 6
 
< 0.1%
214 20
 
< 0.1%
213 46
 
< 0.1%
212 98
 
< 0.1%
211 154
< 0.1%
210 122
< 0.1%
209 144
< 0.1%
208 295
< 0.1%

Weight
Real number (ℝ)

High correlation 

Distinct91
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.140585
Minimum36
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.219583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile55
Q163
median74
Q387
95-th percentile99
Maximum132
Range96
Interquartile range (IQR)24

Descriptive statistics

Standard deviation13.977033
Coefficient of variation (CV)0.18601177
Kurtosis-0.99396747
Mean75.140585
Median Absolute Deviation (MAD)12
Skewness0.21119052
Sum56137681
Variance195.35745
MonotonicityNot monotonic
2025-05-20T15:24:50.262991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 27643
 
3.7%
64 26549
 
3.6%
63 21392
 
2.9%
60 20523
 
2.7%
62 20240
 
2.7%
81 19897
 
2.7%
88 19471
 
2.6%
91 18825
 
2.5%
59 18653
 
2.5%
68 18178
 
2.4%
Other values (81) 535731
71.7%
ValueCountFrequency (%)
36 1
 
< 0.1%
37 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
41 3
 
< 0.1%
42 3
 
< 0.1%
43 4
 
< 0.1%
44 36
< 0.1%
45 74
< 0.1%
46 57
< 0.1%
ValueCountFrequency (%)
132 2
 
< 0.1%
128 3
 
< 0.1%
126 3
 
< 0.1%
124 1
 
< 0.1%
123 10
 
< 0.1%
122 3
 
< 0.1%
121 46
< 0.1%
120 1
 
< 0.1%
119 17
 
< 0.1%
118 18
 
< 0.1%

Duration
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.433595
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.300051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median15
Q323
95-th percentile28
Maximum30
Range29
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.3527506
Coefficient of variation (CV)0.54120575
Kurtosis-1.1955427
Mean15.433595
Median Absolute Deviation (MAD)7
Skewness0.024523107
Sum11530470
Variance69.768442
MonotonicityNot monotonic
2025-05-20T15:24:50.337282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9 28706
 
3.8%
26 28704
 
3.8%
19 28333
 
3.8%
15 27926
 
3.7%
11 27729
 
3.7%
25 27686
 
3.7%
5 27318
 
3.7%
16 27161
 
3.6%
28 27159
 
3.6%
8 26690
 
3.6%
Other values (20) 469690
62.9%
ValueCountFrequency (%)
1 12520
1.7%
2 23480
3.1%
3 26013
3.5%
4 25809
3.5%
5 27318
3.7%
6 26032
3.5%
7 24986
3.3%
8 26690
3.6%
9 28706
3.8%
10 26601
3.6%
ValueCountFrequency (%)
30 12446
1.7%
29 23804
3.2%
28 27159
3.6%
27 24702
3.3%
26 28704
3.8%
25 27686
3.7%
24 24712
3.3%
23 22318
3.0%
22 23167
3.1%
21 26019
3.5%

Heart_Rate
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.495697
Minimum67
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.377464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile80
Q188
median95
Q3103
95-th percentile111
Maximum128
Range61
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4511338
Coefficient of variation (CV)0.098969211
Kurtosis-0.67628535
Mean95.495697
Median Absolute Deviation (MAD)7
Skewness-0.0074440109
Sum71345026
Variance89.32393
MonotonicityNot monotonic
2025-05-20T15:24:50.420664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 34045
 
4.6%
99 29258
 
3.9%
102 28883
 
3.9%
94 27751
 
3.7%
101 27276
 
3.7%
96 26893
 
3.6%
90 26602
 
3.6%
89 25268
 
3.4%
93 25023
 
3.3%
104 24984
 
3.3%
Other values (53) 471119
63.1%
ValueCountFrequency (%)
67 80
 
< 0.1%
68 53
 
< 0.1%
69 254
 
< 0.1%
70 173
 
< 0.1%
71 305
 
< 0.1%
72 657
 
0.1%
73 1044
 
0.1%
74 2028
0.3%
75 2153
0.3%
76 4037
0.5%
ValueCountFrequency (%)
128 28
 
< 0.1%
127 4
 
< 0.1%
126 4
 
< 0.1%
125 56
 
< 0.1%
124 3
 
< 0.1%
123 23
 
< 0.1%
122 78
 
< 0.1%
121 185
< 0.1%
120 207
< 0.1%
119 399
0.1%

Body_Temp
Real number (ℝ)

High correlation 

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.037322
Minimum37.1
Maximum41.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.465310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37.1
5-th percentile38.5
Q139.6
median40.3
Q340.7
95-th percentile40.9
Maximum41.5
Range4.4
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.77923045
Coefficient of variation (CV)0.019462602
Kurtosis0.52403928
Mean40.037322
Median Absolute Deviation (MAD)0.4
Skewness-1.0233571
Sum29911963
Variance0.60720009
MonotonicityNot monotonic
2025-05-20T15:24:50.510015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.7 66909
 
9.0%
40.8 52562
 
7.0%
40.5 49440
 
6.6%
40.3 48817
 
6.5%
40.6 47951
 
6.4%
40.4 41890
 
5.6%
40.9 39801
 
5.3%
40.1 35844
 
4.8%
40.2 32049
 
4.3%
39.7 30671
 
4.1%
Other values (65) 301168
40.3%
ValueCountFrequency (%)
37.1 22
 
< 0.1%
37.2 75
 
< 0.1%
37.3 189
 
< 0.1%
37.4 943
 
0.1%
37.5 972
 
0.1%
37.6 1159
 
0.2%
37.7 4323
0.6%
37.8 3347
0.4%
37.9 3743
0.5%
38 3826
0.5%
ValueCountFrequency (%)
41.5 59
 
< 0.1%
41.4 165
 
< 0.1%
41.3 1424
 
0.2%
41.2 3418
 
0.5%
41.1 7985
 
1.1%
41.03 1
 
< 0.1%
41 15428
 
2.1%
40.9 39801
5.3%
40.897 1
 
< 0.1%
40.8 52562
7.0%

Calories
Real number (ℝ)

High correlation 

Distinct277
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.366319
Minimum1
Maximum314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.552770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q134
median77
Q3136
95-th percentile200
Maximum314
Range313
Interquartile range (IQR)102

Descriptive statistics

Standard deviation62.39854
Coefficient of variation (CV)0.70613487
Kurtosis-0.69197429
Mean88.366319
Median Absolute Deviation (MAD)48
Skewness0.53726184
Sum66018654
Variance3893.5778
MonotonicityNot monotonic
2025-05-20T15:24:50.595745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 8247
 
1.1%
13 7238
 
1.0%
11 6948
 
0.9%
12 6920
 
0.9%
17 6892
 
0.9%
8 6873
 
0.9%
20 6861
 
0.9%
9 6628
 
0.9%
4 6287
 
0.8%
28 6162
 
0.8%
Other values (267) 678046
90.8%
ValueCountFrequency (%)
1 637
 
0.1%
2 2414
 
0.3%
3 4723
0.6%
4 6287
0.8%
5 4214
0.6%
6 5253
0.7%
7 8247
1.1%
8 6873
0.9%
9 6628
0.9%
10 6130
0.8%
ValueCountFrequency (%)
314 26
 
< 0.1%
300 32
 
< 0.1%
295 81
< 0.1%
289 32
 
< 0.1%
287 45
< 0.1%
280 40
< 0.1%
276 55
< 0.1%
273 29
 
< 0.1%
272 42
< 0.1%
271 84
< 0.1%

Heart_Rate_Group
Categorical

High correlation 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.4 MiB
normal
506099 
low
240622 
high
 
381

Length

Max length6
Median length6
Mean length5.0327586
Min length3

Characters and Unicode

Total characters3759984
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownormal
2nd rowlow
3rd rowlow
4th rownormal
5th rownormal

Common Values

ValueCountFrequency (%)
normal 506099
67.7%
low 240622
32.2%
high 381
 
0.1%

Length

2025-05-20T15:24:50.637246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T15:24:50.665642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
normal 506099
67.7%
low 240622
32.2%
high 381
 
0.1%

Most occurring characters

ValueCountFrequency (%)
o 746721
19.9%
l 746721
19.9%
n 506099
13.5%
r 506099
13.5%
m 506099
13.5%
a 506099
13.5%
w 240622
 
6.4%
h 762
 
< 0.1%
i 381
 
< 0.1%
g 381
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3759984
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 746721
19.9%
l 746721
19.9%
n 506099
13.5%
r 506099
13.5%
m 506099
13.5%
a 506099
13.5%
w 240622
 
6.4%
h 762
 
< 0.1%
i 381
 
< 0.1%
g 381
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3759984
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 746721
19.9%
l 746721
19.9%
n 506099
13.5%
r 506099
13.5%
m 506099
13.5%
a 506099
13.5%
w 240622
 
6.4%
h 762
 
< 0.1%
i 381
 
< 0.1%
g 381
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3759984
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 746721
19.9%
l 746721
19.9%
n 506099
13.5%
r 506099
13.5%
m 506099
13.5%
a 506099
13.5%
w 240622
 
6.4%
h 762
 
< 0.1%
i 381
 
< 0.1%
g 381
 
< 0.1%

Duration_Group
Categorical

High correlation 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.4 MiB
long
198685 
short
192848 
medium
186356 
very_long
169213 

Length

Max length9
Median length6
Mean length5.8894676
Min length4

Characters and Unicode

Total characters4400033
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowvery_long
2nd rowshort
3rd rowshort
4th rowvery_long
5th rowvery_long

Common Values

ValueCountFrequency (%)
long 198685
26.6%
short 192848
25.8%
medium 186356
24.9%
very_long 169213
22.6%

Length

2025-05-20T15:24:50.696324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T15:24:50.722948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
long 198685
26.6%
short 192848
25.8%
medium 186356
24.9%
very_long 169213
22.6%

Most occurring characters

ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4400033
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4400033
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4400033
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Temp_Deviation
Real number (ℝ)

High correlation 

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5373217
Minimum0.6
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.761323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2
Q13.1
median3.8
Q34.2
95-th percentile4.4
Maximum5
Range4.4
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.77923045
Coefficient of variation (CV)0.22028826
Kurtosis0.52403928
Mean3.5373217
Median Absolute Deviation (MAD)0.4
Skewness-1.0233571
Sum2642740.1
Variance0.60720009
MonotonicityNot monotonic
2025-05-20T15:24:50.805450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.2 66909
 
9.0%
4.3 52562
 
7.0%
4 49440
 
6.6%
3.8 48817
 
6.5%
4.1 47951
 
6.4%
3.9 41890
 
5.6%
4.4 39801
 
5.3%
3.6 35844
 
4.8%
3.7 32049
 
4.3%
3.2 30671
 
4.1%
Other values (65) 301168
40.3%
ValueCountFrequency (%)
0.6 22
 
< 0.1%
0.7 75
 
< 0.1%
0.8 189
 
< 0.1%
0.9 943
 
0.1%
1 972
 
0.1%
1.1 1159
 
0.2%
1.2 4323
0.6%
1.3 3347
0.4%
1.4 3743
0.5%
1.5 3826
0.5%
ValueCountFrequency (%)
5 59
 
< 0.1%
4.9 165
 
< 0.1%
4.8 1424
 
0.2%
4.7 3418
 
0.5%
4.6 7985
 
1.1%
4.53 1
 
< 0.1%
4.5 15428
 
2.1%
4.4 39801
5.3%
4.397 1
 
< 0.1%
4.3 52562
7.0%

Is_Fever
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.4 MiB
1
732329 
0
 
14773

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters747102
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 732329
98.0%
0 14773
 
2.0%

Length

2025-05-20T15:24:50.846736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T15:24:50.870118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 732329
98.0%
0 14773
 
2.0%

Most occurring characters

ValueCountFrequency (%)
1 732329
98.0%
0 14773
 
2.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 732329
98.0%
0 14773
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 732329
98.0%
0 14773
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 732329
98.0%
0 14773
 
2.0%

Heart_Rate_Deviation
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.495697
Minimum7
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.899661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile20
Q128
median35
Q343
95-th percentile51
Maximum68
Range61
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4511338
Coefficient of variation (CV)0.2662614
Kurtosis-0.67628535
Mean35.495697
Median Absolute Deviation (MAD)7
Skewness-0.0074440109
Sum26518906
Variance89.32393
MonotonicityNot monotonic
2025-05-20T15:24:50.943093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 34045
 
4.6%
39 29258
 
3.9%
42 28883
 
3.9%
34 27751
 
3.7%
41 27276
 
3.7%
36 26893
 
3.6%
30 26602
 
3.6%
29 25268
 
3.4%
33 25023
 
3.3%
44 24984
 
3.3%
Other values (53) 471119
63.1%
ValueCountFrequency (%)
7 80
 
< 0.1%
8 53
 
< 0.1%
9 254
 
< 0.1%
10 173
 
< 0.1%
11 305
 
< 0.1%
12 657
 
0.1%
13 1044
 
0.1%
14 2028
0.3%
15 2153
0.3%
16 4037
0.5%
ValueCountFrequency (%)
68 28
 
< 0.1%
67 4
 
< 0.1%
66 4
 
< 0.1%
65 56
 
< 0.1%
64 3
 
< 0.1%
63 23
 
< 0.1%
62 78
 
< 0.1%
61 185
< 0.1%
60 207
< 0.1%
59 399
0.1%

Log_Duration
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6197709
Minimum0.69314718
Maximum3.4339872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:50.981113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.69314718
5-th percentile1.3862944
Q12.1972246
median2.7725887
Q33.1780538
95-th percentile3.3672958
Maximum3.4339872
Range2.74084
Interquartile range (IQR)0.98082925

Descriptive statistics

Standard deviation0.66605588
Coefficient of variation (CV)0.25424203
Kurtosis0.10634726
Mean2.6197709
Median Absolute Deviation (MAD)0.4462871
Skewness-0.92323356
Sum1957236.1
Variance0.44363043
MonotonicityNot monotonic
2025-05-20T15:24:51.015135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.302585093 28706
 
3.8%
3.295836866 28704
 
3.8%
2.995732274 28333
 
3.8%
2.772588722 27926
 
3.7%
2.48490665 27729
 
3.7%
3.258096538 27686
 
3.7%
1.791759469 27318
 
3.7%
2.833213344 27161
 
3.6%
3.36729583 27159
 
3.6%
2.197224577 26690
 
3.6%
Other values (20) 469690
62.9%
ValueCountFrequency (%)
0.6931471806 12520
1.7%
1.098612289 23480
3.1%
1.386294361 26013
3.5%
1.609437912 25809
3.5%
1.791759469 27318
3.7%
1.945910149 26032
3.5%
2.079441542 24986
3.3%
2.197224577 26690
3.6%
2.302585093 28706
3.8%
2.397895273 26601
3.6%
ValueCountFrequency (%)
3.433987204 12446
1.7%
3.401197382 23804
3.2%
3.36729583 27159
3.6%
3.33220451 24702
3.3%
3.295836866 28704
3.8%
3.258096538 27686
3.7%
3.218875825 24712
3.3%
3.17805383 22318
3.0%
3.135494216 23167
3.1%
3.091042453 26019
3.5%

Is_Short_Session
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.4 MiB
0
525548 
1
221554 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters747102
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Length

2025-05-20T15:24:51.053678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T15:24:51.076945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring characters

ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Log_Weight
Real number (ℝ)

High correlation 

Distinct91
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3156129
Minimum3.6109179
Maximum4.8903491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.109664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6109179
5-th percentile4.0253517
Q14.1588831
median4.3174881
Q34.4773368
95-th percentile4.6051702
Maximum4.8903491
Range1.2794312
Interquartile range (IQR)0.31845373

Descriptive statistics

Standard deviation0.18478361
Coefficient of variation (CV)0.042817467
Kurtosis-1.0399195
Mean4.3156129
Median Absolute Deviation (MAD)0.15860503
Skewness-0.051458823
Sum3224203.1
Variance0.034144984
MonotonicityNot monotonic
2025-05-20T15:24:51.155718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.127134385 27643
 
3.7%
4.17438727 26549
 
3.6%
4.158883083 21392
 
2.9%
4.110873864 20523
 
2.7%
4.143134726 20240
 
2.7%
4.406719247 19897
 
2.7%
4.48863637 19471
 
2.6%
4.521788577 18825
 
2.5%
4.094344562 18653
 
2.5%
4.234106505 18178
 
2.4%
Other values (81) 535731
71.7%
ValueCountFrequency (%)
3.610917913 1
 
< 0.1%
3.63758616 1
 
< 0.1%
3.688879454 1
 
< 0.1%
3.713572067 2
 
< 0.1%
3.737669618 3
 
< 0.1%
3.761200116 3
 
< 0.1%
3.784189634 4
 
< 0.1%
3.80666249 36
< 0.1%
3.828641396 74
< 0.1%
3.850147602 57
< 0.1%
ValueCountFrequency (%)
4.890349128 2
 
< 0.1%
4.859812404 3
 
< 0.1%
4.844187086 3
 
< 0.1%
4.828313737 1
 
< 0.1%
4.820281566 10
 
< 0.1%
4.812184355 3
 
< 0.1%
4.804021045 46
< 0.1%
4.795790546 1
 
< 0.1%
4.787491743 17
 
< 0.1%
4.779123493 18
 
< 0.1%

Log_Age
Real number (ℝ)

High correlation 

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6819791
Minimum3.0445224
Maximum4.3820266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.200373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.0445224
5-th percentile3.0910425
Q13.3672958
median3.7135721
Q33.9702919
95-th percentile4.2626799
Maximum4.3820266
Range1.3375042
Interquartile range (IQR)0.60299608

Descriptive statistics

Standard deviation0.36636403
Coefficient of variation (CV)0.099501931
Kurtosis-1.0618193
Mean3.6819791
Median Absolute Deviation (MAD)0.29376112
Skewness-0.090128944
Sum2750813.9
Variance0.1342226
MonotonicityNot monotonic
2025-05-20T15:24:51.248205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.091042453 36132
 
4.8%
3.496507561 26623
 
3.6%
3.044522438 26128
 
3.5%
3.713572067 22168
 
3.0%
3.828641396 21436
 
2.9%
3.135494216 21204
 
2.8%
3.295836866 20730
 
2.8%
3.258096538 20539
 
2.7%
4.007333185 20352
 
2.7%
3.761200116 20075
 
2.7%
Other values (50) 511715
68.5%
ValueCountFrequency (%)
3.044522438 26128
3.5%
3.091042453 36132
4.8%
3.135494216 21204
2.8%
3.17805383 14609
2.0%
3.218875825 17775
2.4%
3.258096538 20539
2.7%
3.295836866 20730
2.8%
3.33220451 14444
 
1.9%
3.36729583 18001
2.4%
3.401197382 16746
2.2%
ValueCountFrequency (%)
4.382026635 4273
0.6%
4.369447852 1607
 
0.2%
4.356708827 1706
 
0.2%
4.343805422 1078
 
0.1%
4.33073334 4035
0.5%
4.317488114 3792
0.5%
4.304065093 5451
0.7%
4.290459441 5003
0.7%
4.276666119 6734
0.9%
4.262679877 3968
0.5%

BMI
Real number (ℝ)

High correlation 

Distinct2206
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.374222
Minimum12.375937
Maximum46.443986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.293005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12.375937
5-th percentile21.926126
Q123.255019
median24.391059
Q325.484765
95-th percentile26.836008
Maximum46.443986
Range34.068048
Interquartile range (IQR)2.2297459

Descriptive statistics

Standard deviation1.5116561
Coefficient of variation (CV)0.062018638
Kurtosis-0.067110434
Mean24.374222
Median Absolute Deviation (MAD)1.1016634
Skewness-0.0028575475
Sum18210030
Variance2.2851041
MonotonicityNot monotonic
2025-05-20T15:24:51.336209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.53304271 4846
 
0.6%
24.69040546 4055
 
0.5%
23.14725512 3416
 
0.5%
22.67995241 3403
 
0.5%
25.16514627 3205
 
0.4%
26.02304899 3121
 
0.4%
24.15881797 3051
 
0.4%
23.33768443 3034
 
0.4%
22.40817899 3013
 
0.4%
24.44180209 2964
 
0.4%
Other values (2196) 712994
95.4%
ValueCountFrequency (%)
12.3759373 1
< 0.1%
12.58257314 1
< 0.1%
13.5496255 1
< 0.1%
13.72644342 2
< 0.1%
14.04450548 1
< 0.1%
14.1723356 1
< 0.1%
14.20339258 1
< 0.1%
14.30855989 1
< 0.1%
15.31718352 1
< 0.1%
15.80588662 1
< 0.1%
ValueCountFrequency (%)
46.44398574 1
< 0.1%
44.09832989 1
< 0.1%
41.78668506 1
< 0.1%
40.97529312 1
< 0.1%
40.16390117 1
< 0.1%
39.65710623 1
< 0.1%
39.32823129 1
< 0.1%
39.15984336 1
< 0.1%
38.671875 1
< 0.1%
38.54111729 1
< 0.1%

Calories_Est
Real number (ℝ)

High correlation 

Distinct21523
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.572412
Minimum0.335
Maximum43.923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.379598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.335
5-th percentile1.5252
Q15.336
median10.602
Q316.8096
95-th percentile25.3552
Maximum43.923
Range43.588
Interquartile range (IQR)11.4736

Descriptive statistics

Standard deviation7.4490491
Coefficient of variation (CV)0.6436903
Kurtosis-0.49743968
Mean11.572412
Median Absolute Deviation (MAD)5.6544
Skewness0.5319443
Sum8645771.9
Variance55.488332
MonotonicityNot monotonic
2025-05-20T15:24:51.423800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.336 486
 
0.1%
9.504 434
 
0.1%
6.552 433
 
0.1%
15.7248 429
 
0.1%
7.128 422
 
0.1%
7.2072 417
 
0.1%
12.672 407
 
0.1%
13.464 398
 
0.1%
8.736 396
 
0.1%
13.104 394
 
0.1%
Other values (21513) 742886
99.4%
ValueCountFrequency (%)
0.335 1
< 0.1%
0.345 2
< 0.1%
0.3478 1
< 0.1%
0.3484 1
< 0.1%
0.35 1
< 0.1%
0.3551 1
< 0.1%
0.357 2
< 0.1%
0.3577 1
< 0.1%
0.3588 2
< 0.1%
0.3618 1
< 0.1%
ValueCountFrequency (%)
43.923 1
< 0.1%
43.197 1
< 0.1%
42.3612 1
< 0.1%
41.7339 1
< 0.1%
41.4062 1
< 0.1%
40.716 2
< 0.1%
40.698 1
< 0.1%
40.4608 1
< 0.1%
40.3767 2
< 0.1%
40.293 1
< 0.1%

Log_Calories_Est
Real number (ℝ)

High correlation 

Distinct21523
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.313711
Minimum0.28893129
Maximum3.8049499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.466579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.28893129
5-th percentile0.92632027
Q11.8462477
median2.4511775
Q32.8797376
95-th percentile3.2716656
Maximum3.8049499
Range3.5160186
Interquartile range (IQR)1.03349

Descriptive statistics

Standard deviation0.71692098
Coefficient of variation (CV)0.30985762
Kurtosis-0.38160497
Mean2.313711
Median Absolute Deviation (MAD)0.4907478
Skewness-0.62326453
Sum1728578.1
Variance0.51397569
MonotonicityNot monotonic
2025-05-20T15:24:51.510606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.992793735 486
 
0.1%
2.351756137 434
 
0.1%
2.021812429 433
 
0.1%
2.816892648 429
 
0.1%
2.095314891 422
 
0.1%
2.105011818 417
 
0.1%
2.615349946 407
 
0.1%
2.671662804 398
 
0.1%
2.275830356 396
 
0.1%
2.646458445 394
 
0.1%
Other values (21513) 742886
99.4%
ValueCountFrequency (%)
0.2889312919 1
< 0.1%
0.2963940131 2
< 0.1%
0.2984736335 1
< 0.1%
0.2989187044 1
< 0.1%
0.3001045925 1
< 0.1%
0.3038752523 1
< 0.1%
0.3052763809 2
< 0.1%
0.3057920916 1
< 0.1%
0.3066019573 2
< 0.1%
0.3088073541 1
< 0.1%
ValueCountFrequency (%)
3.804949913 1
< 0.1%
3.788656913 1
< 0.1%
3.769565032 1
< 0.1%
3.754992516 1
< 0.1%
3.747294578 1
< 0.1%
3.730884748 2
< 0.1%
3.730453166 1
< 0.1%
3.724748403 1
< 0.1%
3.72271792 2
< 0.1%
3.720692994 1
< 0.1%

Effort
Real number (ℝ)

High correlation 

Distinct1047
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1542.9263
Minimum67
Maximum3840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.554616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile228
Q1728
median1455
Q32325
95-th percentile3103
Maximum3840
Range3773
Interquartile range (IQR)1597

Descriptive statistics

Standard deviation932.39299
Coefficient of variation (CV)0.6043017
Kurtosis-1.1360849
Mean1542.9263
Median Absolute Deviation (MAD)789
Skewness0.21951268
Sum1.1527233 × 109
Variance869356.7
MonotonicityNot monotonic
2025-05-20T15:24:51.600725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2808 4476
 
0.6%
1440 3842
 
0.5%
3024 3726
 
0.5%
1632 3711
 
0.5%
990 3457
 
0.5%
819 3228
 
0.4%
2600 3201
 
0.4%
2496 3175
 
0.4%
1900 3158
 
0.4%
1274 3107
 
0.4%
Other values (1037) 712021
95.3%
ValueCountFrequency (%)
67 43
 
< 0.1%
68 28
 
< 0.1%
69 131
 
< 0.1%
70 85
 
< 0.1%
71 59
 
< 0.1%
72 171
 
< 0.1%
73 233
 
< 0.1%
74 382
 
0.1%
75 279
 
< 0.1%
76 986
0.1%
ValueCountFrequency (%)
3840 12
< 0.1%
3780 2
 
< 0.1%
3750 7
 
< 0.1%
3712 12
< 0.1%
3690 3
 
< 0.1%
3683 2
 
< 0.1%
3660 9
 
< 0.1%
3654 1
 
< 0.1%
3630 26
< 0.1%
3625 21
< 0.1%

Log_Effort
Real number (ℝ)

High correlation 

Distinct1047
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0699786
Minimum4.2195077
Maximum8.253488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.645940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.2195077
5-th percentile5.433722
Q16.5916737
median7.2834482
Q37.7519053
95-th percentile8.0404469
Maximum8.253488
Range4.0339803
Interquartile range (IQR)1.1602316

Descriptive statistics

Standard deviation0.84994711
Coefficient of variation (CV)0.12021919
Kurtosis0.52902331
Mean7.0699786
Median Absolute Deviation (MAD)0.54174753
Skewness-1.0245358
Sum5281995.1
Variance0.72241009
MonotonicityNot monotonic
2025-05-20T15:24:51.689327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.940583827 4476
 
0.6%
7.273092596 3842
 
0.5%
8.01466637 3726
 
0.5%
7.398174093 3711
 
0.5%
6.898714534 3457
 
0.5%
6.70930434 3228
 
0.4%
7.863651265 3201
 
0.4%
7.82284529 3175
 
0.4%
7.550135342 3158
 
0.4%
7.150701458 3107
 
0.4%
Other values (1037) 712021
95.3%
ValueCountFrequency (%)
4.219507705 43
 
< 0.1%
4.234106505 28
 
< 0.1%
4.248495242 131
 
< 0.1%
4.262679877 85
 
< 0.1%
4.276666119 59
 
< 0.1%
4.290459441 171
 
< 0.1%
4.304065093 233
 
< 0.1%
4.317488114 382
 
0.1%
4.33073334 279
 
< 0.1%
4.343805422 986
0.1%
ValueCountFrequency (%)
8.253488028 12
< 0.1%
8.237743804 2
 
< 0.1%
8.22977775 7
 
< 0.1%
8.219595454 12
< 0.1%
8.213652703 3
 
< 0.1%
8.211754397 2
 
< 0.1%
8.205491613 9
 
< 0.1%
8.203851372 1
 
< 0.1%
8.197263371 26
< 0.1%
8.195885391 21
< 0.1%

Heart_Rate_Per_Age
Real number (ℝ)

High correlation 

Distinct2819
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6510118
Minimum0.84810127
Maximum6.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.732137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.84810127
5-th percentile1.3529412
Q11.8039216
median2.4
Q33.3448276
95-th percentile4.6818182
Maximum6.4
Range5.5518987
Interquartile range (IQR)1.540906

Descriptive statistics

Standard deviation1.043903
Coefficient of variation (CV)0.39377531
Kurtosis-0.44955744
Mean2.6510118
Median Absolute Deviation (MAD)0.70714286
Skewness0.69315566
Sum1980576.2
Variance1.0897334
MonotonicityNot monotonic
2025-05-20T15:24:51.774215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7220
 
1.0%
3 6522
 
0.9%
4 4627
 
0.6%
2.5 2851
 
0.4%
1.5 2831
 
0.4%
3.5 2795
 
0.4%
2.333333333 2485
 
0.3%
4.333333333 2435
 
0.3%
1.666666667 2390
 
0.3%
2.2 2343
 
0.3%
Other values (2809) 710603
95.1%
ValueCountFrequency (%)
0.8481012658 1
 
< 0.1%
0.8987341772 2
< 0.1%
0.9054054054 1
 
< 0.1%
0.9102564103 3
< 0.1%
0.9113924051 2
< 0.1%
0.9178082192 1
 
< 0.1%
0.92 1
 
< 0.1%
0.9230769231 4
< 0.1%
0.9240506329 3
< 0.1%
0.9305555556 1
 
< 0.1%
ValueCountFrequency (%)
6.4 1
 
< 0.1%
6.095238095 1
 
< 0.1%
6.05 2
 
< 0.1%
6 2
 
< 0.1%
5.952380952 2
 
< 0.1%
5.95 6
 
< 0.1%
5.9 15
 
< 0.1%
5.857142857 2
 
< 0.1%
5.85 32
< 0.1%
5.8 38
< 0.1%

Intensity_Index
Real number (ℝ)

High correlation 

Distinct3033
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53892267
Minimum0.335
Maximum0.90780142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.816996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.335
5-th percentile0.43005181
Q10.48730964
median0.53266332
Q30.58285714
95-th percentile0.67114094
Maximum0.90780142
Range0.57280142
Interquartile range (IQR)0.095547498

Descriptive statistics

Standard deviation0.073009348
Coefficient of variation (CV)0.13547277
Kurtosis0.25717124
Mean0.53892267
Median Absolute Deviation (MAD)0.047663317
Skewness0.51505609
Sum402630.2
Variance0.0053303649
MonotonicityNot monotonic
2025-05-20T15:24:51.859511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 11709
 
1.6%
0.6 3248
 
0.4%
0.5714285714 2524
 
0.3%
0.5384615385 2066
 
0.3%
0.5555555556 1998
 
0.3%
0.5454545455 1947
 
0.3%
0.4572864322 1921
 
0.3%
0.5333333333 1909
 
0.3%
0.6666666667 1876
 
0.3%
0.5833333333 1870
 
0.3%
Other values (3023) 716034
95.8%
ValueCountFrequency (%)
0.335 3
 
< 0.1%
0.3366834171 5
< 0.1%
0.3383838384 4
 
< 0.1%
0.34 3
 
< 0.1%
0.3401015228 2
 
< 0.1%
0.3417085427 2
 
< 0.1%
0.3418367347 5
< 0.1%
0.3434343434 3
 
< 0.1%
0.3435897436 3
 
< 0.1%
0.345 10
< 0.1%
ValueCountFrequency (%)
0.9078014184 1
 
< 0.1%
0.8951048951 2
 
< 0.1%
0.8865248227 2
 
< 0.1%
0.8802816901 1
 
< 0.1%
0.8767123288 1
 
< 0.1%
0.8741258741 1
 
< 0.1%
0.8723404255 2
 
< 0.1%
0.8680555556 1
 
< 0.1%
0.8648648649 1
 
< 0.1%
0.8620689655 6
< 0.1%

Log_Heart_Rate_Per_Age
Real number (ℝ)

High correlation 

Distinct2819
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2561096
Minimum0.61415877
Maximum2.00148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.903554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.61415877
5-th percentile0.85566611
Q11.031019
median1.2237754
Q31.4689861
95-th percentile1.7372713
Maximum2.00148
Range1.3873212
Interquartile range (IQR)0.43796708

Descriptive statistics

Standard deviation0.27632395
Coefficient of variation (CV)0.21998395
Kurtosis-0.91439755
Mean1.2561096
Median Absolute Deviation (MAD)0.21395864
Skewness0.27193236
Sum938441.99
Variance0.076354926
MonotonicityNot monotonic
2025-05-20T15:24:51.949257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.098612289 7220
 
1.0%
1.386294361 6522
 
0.9%
1.609437912 4627
 
0.6%
1.252762968 2851
 
0.4%
0.9162907319 2831
 
0.4%
1.504077397 2795
 
0.4%
1.203972804 2485
 
0.3%
1.673976434 2435
 
0.3%
0.980829253 2390
 
0.3%
1.16315081 2343
 
0.3%
Other values (2809) 710603
95.1%
ValueCountFrequency (%)
0.6141587692 1
 
< 0.1%
0.6411874416 2
< 0.1%
0.6446947972 1
 
< 0.1%
0.6472374793 3
< 0.1%
0.6478319843 2
< 0.1%
0.6511829815 1
 
< 0.1%
0.652325186 1
 
< 0.1%
0.6539264674 4
< 0.1%
0.6544326684 3
< 0.1%
0.6578078141 1
 
< 0.1%
ValueCountFrequency (%)
2.00148 1
 
< 0.1%
1.959423868 1
 
< 0.1%
1.953027617 2
 
< 0.1%
1.945910149 2
 
< 0.1%
1.939084184 2
 
< 0.1%
1.93874166 6
 
< 0.1%
1.931521412 15
 
< 0.1%
1.925290862 2
 
< 0.1%
1.924248652 32
< 0.1%
1.916922612 38
< 0.1%

Effort_Per_Kg
Real number (ℝ)

High correlation 

Distinct31140
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.309
Minimum0.64761905
Maximum83.571429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:51.995599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.64761905
5-th percentile2.7636364
Q19.6808511
median19.5
Q331.317073
95-th percentile46.366667
Maximum83.571429
Range82.92381
Interquartile range (IQR)21.636222

Descriptive statistics

Standard deviation13.70635
Coefficient of variation (CV)0.64321884
Kurtosis-0.5582005
Mean21.309
Median Absolute Deviation (MAD)10.668831
Skewness0.49741758
Sum15919996
Variance187.86403
MonotonicityNot monotonic
2025-05-20T15:24:52.039868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 1038
 
0.1%
12 1003
 
0.1%
24 985
 
0.1%
18 969
 
0.1%
10 937
 
0.1%
8 928
 
0.1%
9 926
 
0.1%
7 875
 
0.1%
11 848
 
0.1%
6 810
 
0.1%
Other values (31130) 737783
98.8%
ValueCountFrequency (%)
0.6476190476 1
 
< 0.1%
0.6486486486 1
 
< 0.1%
0.6696428571 1
 
< 0.1%
0.6727272727 1
 
< 0.1%
0.6764705882 3
< 0.1%
0.6831683168 2
< 0.1%
0.6846846847 1
 
< 0.1%
0.6857142857 1
 
< 0.1%
0.6862745098 2
< 0.1%
0.6886792453 1
 
< 0.1%
ValueCountFrequency (%)
83.57142857 1
 
< 0.1%
78 1
 
< 0.1%
75.4 1
 
< 0.1%
74.69387755 1
 
< 0.1%
74.66666667 3
< 0.1%
74 1
 
< 0.1%
73.69565217 1
 
< 0.1%
73.46666667 1
 
< 0.1%
73.04347826 1
 
< 0.1%
72.54545455 1
 
< 0.1%

Log_Effort_Per_Kg
Real number (ℝ)

High correlation 

Distinct31140
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8574717
Minimum0.49933124
Maximum4.4375965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:52.083454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.49933124
5-th percentile1.3253856
Q12.3684525
median3.0204249
Q33.4755957
95-th percentile3.8579187
Maximum4.4375965
Range3.9382652
Interquartile range (IQR)1.1071432

Descriptive statistics

Standard deviation0.77962875
Coefficient of variation (CV)0.27283866
Kurtosis-0.14372621
Mean2.8574717
Median Absolute Deviation (MAD)0.5182686
Skewness-0.7447187
Sum2134822.8
Variance0.60782098
MonotonicityNot monotonic
2025-05-20T15:24:52.128570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.772588722 1038
 
0.1%
2.564949357 1003
 
0.1%
3.218875825 985
 
0.1%
2.944438979 969
 
0.1%
2.397895273 937
 
0.1%
2.197224577 928
 
0.1%
2.302585093 926
 
0.1%
2.079441542 875
 
0.1%
2.48490665 848
 
0.1%
1.945910149 810
 
0.1%
Other values (31130) 737783
98.8%
ValueCountFrequency (%)
0.4993312443 1
 
< 0.1%
0.4999559515 1
 
< 0.1%
0.5126097456 1
 
< 0.1%
0.5144553918 1
 
< 0.1%
0.5166907432 3
< 0.1%
0.5206779202 2
< 0.1%
0.5215784155 1
 
< 0.1%
0.5221893824 1
 
< 0.1%
0.5225216635 2
< 0.1%
0.5239467117 1
 
< 0.1%
ValueCountFrequency (%)
4.437596486 1
 
< 0.1%
4.369447852 1
 
< 0.1%
4.335982696 1
 
< 0.1%
4.326697279 1
 
< 0.1%
4.326337729 3
< 0.1%
4.317488114 1
 
< 0.1%
4.313421887 1
 
< 0.1%
4.310351598 1
 
< 0.1%
4.304652465 1
 
< 0.1%
4.297903644 1
 
< 0.1%

Duration_Per_Age
Real number (ℝ)

High correlation 

Distinct1236
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4276969
Minimum0.012658228
Maximum1.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T15:24:52.172073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.012658228
5-th percentile0.0625
Q10.19444444
median0.375
Q30.59090909
95-th percentile1.037037
Maximum1.5
Range1.4873418
Interquartile range (IQR)0.39646465

Descriptive statistics

Standard deviation0.29563256
Coefficient of variation (CV)0.69121979
Kurtosis0.52394544
Mean0.4276969
Median Absolute Deviation (MAD)0.19190141
Skewness0.9539109
Sum319533.21
Variance0.08739861
MonotonicityNot monotonic
2025-05-20T15:24:52.218690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 11397
 
1.5%
0.3333333333 9372
 
1.3%
1 8072
 
1.1%
0.25 7959
 
1.1%
0.4 6120
 
0.8%
0.2 6049
 
0.8%
0.1666666667 5330
 
0.7%
0.6666666667 5190
 
0.7%
0.1428571429 4626
 
0.6%
0.4285714286 4361
 
0.6%
Other values (1226) 678626
90.8%
ValueCountFrequency (%)
0.01265822785 13
 
< 0.1%
0.01282051282 33
 
< 0.1%
0.01298701299 13
 
< 0.1%
0.01315789474 2
 
< 0.1%
0.01333333333 64
< 0.1%
0.01351351351 16
 
< 0.1%
0.01369863014 82
< 0.1%
0.01388888889 84
< 0.1%
0.01408450704 40
< 0.1%
0.01428571429 53
< 0.1%
ValueCountFrequency (%)
1.5 290
 
< 0.1%
1.45 517
0.1%
1.428571429 588
0.1%
1.4 626
0.1%
1.380952381 1102
0.1%
1.363636364 451
 
0.1%
1.35 740
0.1%
1.333333333 1241
0.2%
1.318181818 943
0.1%
1.304347826 204
 
< 0.1%

Interactions

2025-05-20T15:24:46.608591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:06.849747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:08.512436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:10.244763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:11.860663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:13.644681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:15.497926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:17.117170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:19.024020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:20.661092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:22.376942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:24.338202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:26.004399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:27.691533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:29.756254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:31.478787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:33.227570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:35.037214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:37.245303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:38.994034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:40.763721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:42.540537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:44.274189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-20T15:24:21.997595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:23.976532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:25.632590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:27.317995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:29.023993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:31.101032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:32.847554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:34.641466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:36.412714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:38.614380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:40.374721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:42.150760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:43.886502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:46.219863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:48.081596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:08.224664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:09.954361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:11.571819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:13.353465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:15.201067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:16.830379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:18.490685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:20.369748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:22.073164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:24.049042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:25.705781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:27.391461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:29.096302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:31.173307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:32.922677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:34.721039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:36.939223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:38.687387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:40.451916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:42.222944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:43.971761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:46.297134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:48.162120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:08.296206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:10.027916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:11.645292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:13.427898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:15.277619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:16.904427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:18.565274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:20.442752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:22.150886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:24.122617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:25.780894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:27.467592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:29.533033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:31.247738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:32.998655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:34.799602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:37.017269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:38.766045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:40.529180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:42.301994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:44.048093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:46.376305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:48.238282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:08.364932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:10.097657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:11.714963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:13.500046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:15.348444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:16.973174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:18.638284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:20.512755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:22.227203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:24.193249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:25.854946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:27.539311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:29.605350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:31.319598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:33.074215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:34.878213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:37.091197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:38.838194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:40.604591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:42.376854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:44.122130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:46.449665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:48.315726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:08.439098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:10.173865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:11.788442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:13.573542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:15.422014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:17.046555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:18.716015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:20.588335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:22.303024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:24.266643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:25.930493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:27.616686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:29.682929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:31.398343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:33.151694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:34.957455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:37.169849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:38.919322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:40.687992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:42.459934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:44.198744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T15:24:46.530866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-20T15:24:52.268089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AgeBMIBody_TempCaloriesCalories_EstDurationDuration_GroupDuration_Per_AgeEffortEffort_Per_KgHeart_RateHeart_Rate_DeviationHeart_Rate_GroupHeart_Rate_Per_AgeHeightIntensity_IndexIs_FeverIs_Short_SessionLog_AgeLog_Calories_EstLog_DurationLog_EffortLog_Effort_Per_KgLog_Heart_Rate_Per_AgeLog_WeightTemp_DeviationWeight
Age1.0000.1910.0250.1180.0260.0110.045-0.4770.012-0.0070.0080.0080.031-0.9680.0160.6360.0360.0311.0000.0260.0110.012-0.007-0.9680.0760.0250.076
BMI0.1911.0000.0100.0260.1920.0050.022-0.0890.007-0.1820.0180.0180.013-0.1810.5550.1290.0060.0110.1910.1920.0050.007-0.182-0.1810.7520.0100.752
Body_Temp0.0250.0101.0000.9340.9130.9450.7100.7990.9430.9100.8410.8410.5160.178-0.0270.6421.0000.8950.0250.9130.9450.9430.9100.178-0.0171.000-0.017
Calories0.1180.0260.9341.0000.9540.9810.8270.7730.9880.9470.9270.9270.5960.109-0.0280.7670.2530.8830.1180.9540.9810.9880.9470.109-0.0130.934-0.013
Calories_Est0.0260.1920.9130.9541.0000.9590.7500.8080.9620.8550.8800.8800.5330.1870.2090.6700.2690.8700.0261.0000.9590.9620.8550.1870.2270.9130.227
Duration0.0110.0050.9450.9810.9591.0000.9360.8440.9970.9590.8850.8850.5340.201-0.0300.6650.4711.0000.0110.9591.0000.9970.9590.201-0.0220.945-0.022
Duration_Group0.0450.0220.7100.8270.7500.9361.0000.5800.9060.7530.6150.6150.5210.1590.0320.4070.2410.9190.0450.7550.8910.8860.7480.1590.0320.7100.038
Duration_Per_Age-0.477-0.0890.7990.7730.8080.8440.5801.0000.8420.8260.7460.7460.4720.646-0.0330.2560.2830.798-0.4770.8080.8440.8420.8260.646-0.0550.799-0.055
Effort0.0120.0070.9430.9880.9620.9970.9060.8421.0000.9610.9150.9150.5800.208-0.0290.6870.3430.9710.0120.9620.9971.0000.9610.208-0.0200.943-0.020
Effort_Per_Kg-0.007-0.1820.9100.9470.8550.9590.7530.8260.9611.0000.8750.8750.5260.217-0.2690.6480.2600.878-0.0070.8550.9590.9611.0000.217-0.2700.910-0.270
Heart_Rate0.0080.0180.8410.9270.8800.8850.6150.7460.9150.8751.0001.0000.8270.233-0.0160.7500.3050.7470.0080.8800.8850.9150.8750.233-0.0060.841-0.006
Heart_Rate_Deviation0.0080.0180.8410.9270.8800.8850.6150.7460.9150.8751.0001.0000.8270.233-0.0160.7500.3050.7470.0080.8800.8850.9150.8750.233-0.0060.841-0.006
Heart_Rate_Group0.0310.0130.5160.5960.5330.5340.5210.4720.5800.5260.8270.8271.0000.1820.0180.4910.2000.6930.0280.5400.5330.5460.5330.1860.0130.5160.021
Heart_Rate_Per_Age-0.968-0.1810.1780.1090.1870.2010.1590.6460.2080.2170.2330.2330.1821.000-0.020-0.4320.0660.213-0.9680.1870.2010.2080.2171.000-0.0750.178-0.075
Height0.0160.555-0.027-0.0280.209-0.0300.032-0.033-0.029-0.269-0.016-0.0160.018-0.0201.000-0.0100.0280.0390.0160.209-0.030-0.029-0.269-0.0200.962-0.0270.962
Intensity_Index0.6360.1290.6420.7670.6700.6650.4070.2560.6870.6480.7500.7500.491-0.432-0.0101.0000.2560.5530.6360.6700.6650.6870.648-0.4320.0350.6420.035
Is_Fever0.0360.0061.0000.2530.2690.4710.2410.2830.3430.2600.3050.3050.2000.0660.0280.2561.0000.2190.0480.8170.8540.8540.8290.0690.0241.0000.024
Is_Short_Session0.0310.0110.8950.8830.8701.0000.9190.7980.9710.8780.7470.7470.6930.2130.0390.5530.2191.0000.0360.8991.0000.9340.9020.2210.0260.8950.038
Log_Age1.0000.1910.0250.1180.0260.0110.045-0.4770.012-0.0070.0080.0080.028-0.9680.0160.6360.0480.0361.0000.0260.0110.012-0.007-0.9680.0760.0250.076
Log_Calories_Est0.0260.1920.9130.9541.0000.9590.7550.8080.9620.8550.8800.8800.5400.1870.2090.6700.8170.8990.0261.0000.9590.9620.8550.1870.2270.9130.227
Log_Duration0.0110.0050.9450.9810.9591.0000.8910.8440.9970.9590.8850.8850.5330.201-0.0300.6650.8541.0000.0110.9591.0000.9970.9590.201-0.0220.945-0.022
Log_Effort0.0120.0070.9430.9880.9620.9970.8860.8421.0000.9610.9150.9150.5460.208-0.0290.6870.8540.9340.0120.9620.9971.0000.9610.208-0.0200.943-0.020
Log_Effort_Per_Kg-0.007-0.1820.9100.9470.8550.9590.7480.8260.9611.0000.8750.8750.5330.217-0.2690.6480.8290.902-0.0070.8550.9590.9611.0000.217-0.2700.910-0.270
Log_Heart_Rate_Per_Age-0.968-0.1810.1780.1090.1870.2010.1590.6460.2080.2170.2330.2330.1861.000-0.020-0.4320.0690.221-0.9680.1870.2010.2080.2171.000-0.0750.178-0.075
Log_Weight0.0760.752-0.017-0.0130.227-0.0220.032-0.055-0.020-0.270-0.006-0.0060.013-0.0750.9620.0350.0240.0260.0760.227-0.022-0.020-0.270-0.0751.000-0.0171.000
Temp_Deviation0.0250.0101.0000.9340.9130.9450.7100.7990.9430.9100.8410.8410.5160.178-0.0270.6421.0000.8950.0250.9130.9450.9430.9100.178-0.0171.000-0.017
Weight0.0760.752-0.017-0.0130.227-0.0220.038-0.055-0.020-0.270-0.006-0.0060.021-0.0750.9620.0350.0240.0380.0760.227-0.022-0.020-0.270-0.0751.000-0.0171.000

Missing values

2025-05-20T15:24:48.404790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-20T15:24:48.922399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

AgeHeightWeightDurationHeart_RateBody_TempCaloriesHeart_Rate_GroupDuration_GroupTemp_DeviationIs_FeverHeart_Rate_DeviationLog_DurationIs_Short_SessionLog_WeightLog_AgeBMICalories_EstLog_Calories_EstEffortLog_EffortHeart_Rate_Per_AgeIntensity_IndexLog_Heart_Rate_Per_AgeEffort_Per_KgLog_Effort_Per_KgDuration_Per_Age
id
036189.082.026.0101.041.0150.0normalvery_long4.5141.03.29583704.4188413.61091822.95568421.53323.1149902626.07.8735982.8055560.5489131.33646232.0243903.4972460.722222
164163.060.08.085.039.734.0lowshort3.2125.02.19722514.1108744.17438722.5827094.08001.625311680.06.5235621.3281250.5448720.84506311.3333332.5123060.125000
251161.064.07.084.039.829.0lowshort3.3124.02.07944214.1743873.95124424.6904053.76321.560920588.06.3784261.6470590.4970410.9734499.1875002.3211610.137255
320192.090.025.0105.040.7140.0normalvery_long4.2145.03.25809704.5108603.04452224.41406223.62503.2037622625.07.8732175.2500000.5250001.83258129.1666673.4067381.250000
438166.061.025.0102.040.6146.0normalvery_long4.1142.03.25809704.1271343.66356222.13674015.55502.8066882550.07.8442412.6842110.5604401.30405641.8032793.7566150.657895
526156.056.019.0100.040.5103.0normallong4.0140.02.99573204.0430513.29583723.01117710.64002.4544471900.07.5501353.8461540.5154641.57818533.9285713.5533050.730769
621172.073.03.081.038.39.0lowshort1.8121.01.38629414.3040653.09104224.6755001.77391.020254243.05.4971683.8571430.4070351.5804503.3287671.4652830.142857
746188.094.023.0100.040.8145.0normallong4.3140.03.17805404.5538773.85014826.59574521.62003.1188342300.07.7410992.1739130.5747131.15496524.4680853.2374260.500000
833166.063.025.0107.040.5161.0normalvery_long4.0147.03.25809704.1588833.52636122.86253416.85252.8821442675.07.8920783.2424240.5721931.44513542.4603173.7718480.757576
965185.088.023.0104.041.0185.0normallong4.5144.03.17805404.4886364.18965525.71219921.04963.0932942392.07.7803031.6000000.6709680.95551127.1818183.3386770.353846
AgeHeightWeightDurationHeart_RateBody_TempCaloriesHeart_Rate_GroupDuration_GroupTemp_DeviationIs_FeverHeart_Rate_DeviationLog_DurationIs_Short_SessionLog_WeightLog_AgeBMICalories_EstLog_Calories_EstEffortLog_EffortHeart_Rate_Per_AgeIntensity_IndexLog_Heart_Rate_Per_AgeEffort_Per_KgLog_Effort_Per_KgDuration_Per_Age
id
74999058175.073.05.087.039.423.0lowshort2.9127.01.79175914.3040654.07753723.8367353.17551.429234435.06.0776421.5000000.5370370.9162915.9589041.9400220.086207
74999142149.049.026.0108.040.7178.0normalvery_long4.2148.03.29583703.9120233.76120022.07107813.75922.6918672808.07.9405842.5714290.6067421.27296657.3061224.0657070.619048
74999229199.096.028.0108.041.0182.0normalvery_long4.5148.03.36729604.5747113.40119724.24181229.03043.4022103024.08.0146663.7241380.5654451.55268531.5000003.4812400.965517
74999325179.075.013.0101.040.166.0normalmedium3.6141.02.63905704.3307333.25809723.4075099.84752.3839351313.07.1808314.0400000.5179491.61740617.5066672.9181310.520000
74999421157.058.011.086.039.542.0lowmedium3.0126.02.48490704.0775373.09104223.5303665.48681.869769946.06.8532994.0952380.4321611.62830616.3103452.8513040.523810
74999528193.097.030.0114.040.9230.0normalvery_long4.4154.03.43398704.5849673.36729626.04096833.17403.5314653420.08.1376884.0714290.5937501.62362335.2577323.5906531.071429
74999664165.063.018.092.040.596.0normallong4.0132.02.94443904.1588834.17438723.14049610.43282.4364861656.07.4127641.4375000.5897440.89097326.2857143.3063630.281250
74999760162.067.029.0113.040.9221.0normalvery_long4.4153.03.40119704.2195084.11087425.52964521.95593.1335753277.08.0949891.8833330.7062501.05894748.9104483.9102300.483333
74999845182.091.017.0102.040.3109.0normallong3.8142.02.89037204.5217893.82864127.47252715.77942.8201521734.07.4587632.2666670.5828571.18377019.0549452.9984760.377778
74999939171.065.019.097.040.6103.0normallong4.1137.02.99573204.1896553.68887922.22906211.97952.5633711843.07.5196922.4871790.5359121.24909328.3538463.3794240.487179